most citedCalibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches

120 citations · 120 across the 1 of their papers we have counts for

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1 paper

cs.AI2017★ 120 cited

Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative Machine Learning approaches

S. De Vito, E. Esposito, M. Salvato +4

Chemical multisensor devices need calibration algorithms to estimate gas concentrations. Their possible adoption as indicative air quality measurements devices poses new challenges…